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S.
Kimani, S. Lodi, T. Catarci, G. Santucci, C.
Sartori "Visual Data Mining with VidaMine"
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The human-vision channel is capable of recognizing and understanding data at an instant. Effective visual strategies can be used
to tap the outstanding human visual channel in extracting useful information from data. Unlike is the case with most research
efforts, the exploitation should be employed not just at the beginning or at the end of the knowledge discovery process but across the entire discovery
process. This calls for the development of an effective
user/visual component, the development of an overall framework that can support the entire discovery process/all discovery phases, and the strategic placement of the
visual component in that framework. Key issues of this component will be the open architecture, allowing extensions and adaptations to specific
mining environments, and the precise semantics and syntax, allowing an optimal integration between the presentation and the computation.
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